Pandas Profiling Report

Dataset statistics

Number of variables	34
Number of observations	7032
Missing cells	5163
Missing cells (%)	2.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.8 MiB
Average record size in memory	272.0 B

Variable types

Categorical	14
Numeric	8
Boolean	12

Alerts

`Count` has constant value "1"	Constant
`Country` has constant value "United States"	Constant
`State` has constant value "California"	Constant
`CustomerID` has a high cardinality: 7032 distinct values	High cardinality
`City` has a high cardinality: 1129 distinct values	High cardinality
`Lat Long` has a high cardinality: 1652 distinct values	High cardinality
`Zip Code` is highly correlated with `Latitude` and 1 other fields	High correlation
`Latitude` is highly correlated with `Zip Code` and 1 other fields	High correlation
`Longitude` is highly correlated with `Zip Code` and 1 other fields	High correlation
`Tenure Months` is highly correlated with `Total Charges`	High correlation
`Monthly Charges` is highly correlated with `Total Charges`	High correlation
`Total Charges` is highly correlated with `Tenure Months` and 1 other fields	High correlation
`Churn Value` is highly correlated with `Churn Score` and 1 other fields	High correlation
`Churn Score` is highly correlated with `Churn Value` and 1 other fields	High correlation
`Churn` is highly correlated with `Churn Value` and 1 other fields	High correlation
`Zip Code` is highly correlated with `Latitude` and 1 other fields	High correlation
`Latitude` is highly correlated with `Zip Code` and 1 other fields	High correlation
`Longitude` is highly correlated with `Zip Code` and 1 other fields	High correlation
`Tenure Months` is highly correlated with `Total Charges`	High correlation
`Monthly Charges` is highly correlated with `Total Charges`	High correlation
`Total Charges` is highly correlated with `Tenure Months` and 1 other fields	High correlation
`Churn Value` is highly correlated with `Churn Score` and 1 other fields	High correlation
`Churn Score` is highly correlated with `Churn Value` and 1 other fields	High correlation
`Churn` is highly correlated with `Churn Value` and 1 other fields	High correlation
`Zip Code` is highly correlated with `Latitude`	High correlation
`Latitude` is highly correlated with `Zip Code` and 1 other fields	High correlation
`Longitude` is highly correlated with `Latitude`	High correlation
`Tenure Months` is highly correlated with `Total Charges`	High correlation
`Total Charges` is highly correlated with `Tenure Months`	High correlation
`Churn Value` is highly correlated with `Churn Score` and 1 other fields	High correlation
`Churn Score` is highly correlated with `Churn Value` and 1 other fields	High correlation
`Churn` is highly correlated with `Churn Value` and 1 other fields	High correlation
`Device Protection` is highly correlated with `Count` and 2 other fields	High correlation
`Count` is highly correlated with `Device Protection` and 21 other fields	High correlation
`Internet Service` is highly correlated with `Count` and 2 other fields	High correlation
`Payment Method` is highly correlated with `Count` and 2 other fields	High correlation
`Streaming TV` is highly correlated with `Count` and 3 other fields	High correlation
`Online Backup` is highly correlated with `Count` and 2 other fields	High correlation
`State` is highly correlated with `Device Protection` and 21 other fields	High correlation
`Partner` is highly correlated with `Count` and 2 other fields	High correlation
`Online Security` is highly correlated with `Count` and 2 other fields	High correlation
`Gender` is highly correlated with `Count` and 2 other fields	High correlation
`Churn Label` is highly correlated with `Count` and 5 other fields	High correlation
`Churn` is highly correlated with `Count` and 5 other fields	High correlation
`Paperless Billing` is highly correlated with `Count` and 2 other fields	High correlation
`Tech Support` is highly correlated with `Count` and 2 other fields	High correlation
`Churn Reason` is highly correlated with `Count` and 5 other fields	High correlation
`Dependents` is highly correlated with `Count` and 2 other fields	High correlation
`Contract` is highly correlated with `Count` and 2 other fields	High correlation
`Senior Citizen` is highly correlated with `Count` and 2 other fields	High correlation
`Multiple Lines` is highly correlated with `Count` and 3 other fields	High correlation
`Country` is highly correlated with `Device Protection` and 21 other fields	High correlation
`Streaming Movies` is highly correlated with `Count` and 3 other fields	High correlation
`Churn Value` is highly correlated with `Count` and 5 other fields	High correlation
`Phone Service` is highly correlated with `Count` and 3 other fields	High correlation
`Zip Code` is highly correlated with `Latitude` and 1 other fields	High correlation
`Latitude` is highly correlated with `Zip Code` and 1 other fields	High correlation
`Longitude` is highly correlated with `Zip Code` and 1 other fields	High correlation
`Partner` is highly correlated with `Dependents`	High correlation
`Dependents` is highly correlated with `Partner`	High correlation
`Tenure Months` is highly correlated with `Contract` and 1 other fields	High correlation
`Phone Service` is highly correlated with `Multiple Lines` and 1 other fields	High correlation
`Multiple Lines` is highly correlated with `Phone Service` and 2 other fields	High correlation
`Internet Service` is highly correlated with `Multiple Lines` and 3 other fields	High correlation
`Online Security` is highly correlated with `Tech Support` and 2 other fields	High correlation
`Online Backup` is highly correlated with `Monthly Charges` and 1 other fields	High correlation
`Device Protection` is highly correlated with `Streaming TV` and 3 other fields	High correlation
`Tech Support` is highly correlated with `Online Security` and 2 other fields	High correlation
`Streaming TV` is highly correlated with `Device Protection` and 3 other fields	High correlation
`Streaming Movies` is highly correlated with `Device Protection` and 3 other fields	High correlation
`Contract` is highly correlated with `Tenure Months` and 2 other fields	High correlation
`Monthly Charges` is highly correlated with `Phone Service` and 9 other fields	High correlation
`Total Charges` is highly correlated with `Tenure Months` and 9 other fields	High correlation
`Churn Label` is highly correlated with `Churn Value` and 2 other fields	High correlation
`Churn Value` is highly correlated with `Churn Label` and 2 other fields	High correlation
`Churn Score` is highly correlated with `Churn Label` and 2 other fields	High correlation
`Churn` is highly correlated with `Churn Label` and 2 other fields	High correlation
`Churn Reason` has 5163 (73.4%) missing values	Missing
`CustomerID` is uniformly distributed	Uniform
`Lat Long` is uniformly distributed	Uniform
`CustomerID` has unique values	Unique

Reproduction

Analysis started	2023-03-07 00:32:54.774934
Analysis finished	2023-03-07 00:33:00.542773
Duration	5.77 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

CustomerID
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	7032
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	55.1 KiB

3668-QPYBK	1
9169-BSVIN	1
0206-OYVOC	1
6418-HNFED	1
8805-JNRAZ	1
Other values (7027)	7027

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	70320
Distinct characters	37
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7032 ?
Unique (%)	100.0%

Sample

1st row	3668-QPYBK
2nd row	9237-HQITU
3rd row	9305-CDSKC
4th row	7892-POOKP
5th row	0280-XJGEX

Common Values

Value	Count	Frequency (%)
3668-QPYBK	1	< 0.1%
9169-BSVIN	1	< 0.1%
0206-OYVOC	1	< 0.1%
6418-HNFED	1	< 0.1%
8805-JNRAZ	1	< 0.1%
8439-LTUGF	1	< 0.1%
1767-TGTKO	1	< 0.1%
1194-HVAIF	1	< 0.1%
1080-BWSYE	1	< 0.1%
8387-UGUSU	1	< 0.1%
Other values (7022)	7022	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
3668-qpybk	1	< 0.1%
8168-uqwwf	1	< 0.1%
7892-pookp	1	< 0.1%
0280-xjgex	1	< 0.1%
4190-mfluw	1	< 0.1%
8779-qrdmv	1	< 0.1%
1066-jksgk	1	< 0.1%
6467-chfzw	1	< 0.1%
8665-utdhz	1	< 0.1%
8773-hhuoz	1	< 0.1%
Other values (7022)	7022	99.9%

Most occurring characters

Value	Count	Frequency (%)
-	7032	10.0%
2	2894	4.1%
9	2879	4.1%
6	2868	4.1%
7	2828	4.0%
0	2828	4.0%
8	2812	4.0%
5	2805	4.0%
3	2785	4.0%
1	2721	3.9%
Other values (27)	37868	53.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	35160	50.0%
Decimal Number	28128	40.0%
Dash Punctuation	7032	10.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	1438	4.1%
H	1396	4.0%
B	1393	4.0%
S	1384	3.9%
V	1377	3.9%
T	1372	3.9%
C	1367	3.9%
Z	1364	3.9%
K	1362	3.9%
F	1362	3.9%
Other values (16)	21345	60.7%

Decimal Number

Value	Count	Frequency (%)
2	2894	10.3%
9	2879	10.2%
6	2868	10.2%
7	2828	10.1%
0	2828	10.1%
8	2812	10.0%
5	2805	10.0%
3	2785	9.9%
1	2721	9.7%
4	2708	9.6%

Dash Punctuation

Value	Count	Frequency (%)
-	7032	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	35160	50.0%
Latin	35160	50.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	1438	4.1%
H	1396	4.0%
B	1393	4.0%
S	1384	3.9%
V	1377	3.9%
T	1372	3.9%
C	1367	3.9%
Z	1364	3.9%
K	1362	3.9%
F	1362	3.9%
Other values (16)	21345	60.7%

Common

Value	Count	Frequency (%)
-	7032	20.0%
2	2894	8.2%
9	2879	8.2%
6	2868	8.2%
7	2828	8.0%
0	2828	8.0%
8	2812	8.0%
5	2805	8.0%
3	2785	7.9%
1	2721	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	70320	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	7032	10.0%
2	2894	4.1%
9	2879	4.1%
6	2868	4.1%
7	2828	4.0%
0	2828	4.0%
8	2812	4.0%
5	2805	4.0%
3	2785	4.0%
1	2721	3.9%
Other values (27)	37868	53.9%

Count
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	55.1 KiB

1	7032

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	7032
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	7032	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	7032	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	7032	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7032	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	7032	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	7032	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	7032	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7032	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	7032	100.0%

Country
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	55.1 KiB

United States	7032

Length

Max length	13
Median length	13
Mean length	13
Min length	13

Characters and Unicode

Total characters	91416
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	United States
2nd row	United States
3rd row	United States
4th row	United States
5th row	United States

Common Values

Value	Count	Frequency (%)
United States	7032	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
united	7032	50.0%
states	7032	50.0%

Most occurring characters

Value	Count	Frequency (%)
t	21096	23.1%
e	14064	15.4%
U	7032	7.7%
n	7032	7.7%
i	7032	7.7%
d	7032	7.7%
	7032	7.7%
S	7032	7.7%
a	7032	7.7%
s	7032	7.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	70320	76.9%
Uppercase Letter	14064	15.4%
Space Separator	7032	7.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	21096	30.0%
e	14064	20.0%
n	7032	10.0%
i	7032	10.0%
d	7032	10.0%
a	7032	10.0%
s	7032	10.0%

Uppercase Letter

Value	Count	Frequency (%)
U	7032	50.0%
S	7032	50.0%

Space Separator

Value	Count	Frequency (%)
	7032	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	84384	92.3%
Common	7032	7.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	21096	25.0%
e	14064	16.7%
U	7032	8.3%
n	7032	8.3%
i	7032	8.3%
d	7032	8.3%
S	7032	8.3%
a	7032	8.3%
s	7032	8.3%

Common

Value	Count	Frequency (%)
	7032	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	91416	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	21096	23.1%
e	14064	15.4%
U	7032	7.7%
n	7032	7.7%
i	7032	7.7%
d	7032	7.7%
	7032	7.7%
S	7032	7.7%
a	7032	7.7%
s	7032	7.7%

State
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	55.1 KiB

California	7032

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	70320
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	California
2nd row	California
3rd row	California
4th row	California
5th row	California

Common Values

Value	Count	Frequency (%)
California	7032	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
california	7032	100.0%

Most occurring characters

Value	Count	Frequency (%)
a	14064	20.0%
i	14064	20.0%
C	7032	10.0%
l	7032	10.0%
f	7032	10.0%
o	7032	10.0%
r	7032	10.0%
n	7032	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	63288	90.0%
Uppercase Letter	7032	10.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	14064	22.2%
i	14064	22.2%
l	7032	11.1%
f	7032	11.1%
o	7032	11.1%
r	7032	11.1%
n	7032	11.1%

Uppercase Letter

Value	Count	Frequency (%)
C	7032	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	70320	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	14064	20.0%
i	14064	20.0%
C	7032	10.0%
l	7032	10.0%
f	7032	10.0%
o	7032	10.0%
r	7032	10.0%
n	7032	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	70320	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	14064	20.0%
i	14064	20.0%
C	7032	10.0%
l	7032	10.0%
f	7032	10.0%
o	7032	10.0%
r	7032	10.0%
n	7032	10.0%

City
Categorical

HIGH CARDINALITY

Distinct	1129
Distinct (%)	16.1%
Missing	0
Missing (%)	0.0%
Memory size	55.1 KiB

Los Angeles	304
San Diego	150
San Jose	112
Sacramento	108
San Francisco	104
Other values (1124)	6254

Length

Max length	22
Median length	19
Mean length	9.22298066
Min length	3

Characters and Unicode

Total characters	64856
Distinct characters	52
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Los Angeles
2nd row	Los Angeles
3rd row	Los Angeles
4th row	Los Angeles
5th row	Los Angeles

Common Values

Value	Count	Frequency (%)
Los Angeles	304	4.3%
San Diego	150	2.1%
San Jose	112	1.6%
Sacramento	108	1.5%
San Francisco	104	1.5%
Fresno	64	0.9%
Long Beach	60	0.9%
Oakland	52	0.7%
Stockton	44	0.6%
Bakersfield	40	0.6%
Other values (1119)	5994	85.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
san	582	5.6%
los	349	3.4%
angeles	304	3.0%
valley	183	1.8%
santa	182	1.8%
beach	172	1.7%
city	164	1.6%
diego	150	1.5%
sacramento	116	1.1%
jose	112	1.1%
Other values (1131)	7988	77.5%

Most occurring characters

Value	Count	Frequency (%)
a	6946	10.7%
e	6137	9.5%
n	5102	7.9%
o	4936	7.6%
l	4003	6.2%
r	3644	5.6%
i	3366	5.2%
	3270	5.0%
s	2921	4.5%
t	2703	4.2%
Other values (42)	21828	33.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	51284	79.1%
Uppercase Letter	10302	15.9%
Space Separator	3270	5.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	6946	13.5%
e	6137	12.0%
n	5102	9.9%
o	4936	9.6%
l	4003	7.8%
r	3644	7.1%
i	3366	6.6%
s	2921	5.7%
t	2703	5.3%
d	1644	3.2%
Other values (16)	9882	19.3%

Uppercase Letter

Value	Count	Frequency (%)
S	1462	14.2%
C	1008	9.8%
L	898	8.7%
B	749	7.3%
A	672	6.5%
M	618	6.0%
P	613	6.0%
R	455	4.4%
F	442	4.3%
V	419	4.1%
Other values (15)	2966	28.8%

Space Separator

Value	Count	Frequency (%)
	3270	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	61586	95.0%
Common	3270	5.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	6946	11.3%
e	6137	10.0%
n	5102	8.3%
o	4936	8.0%
l	4003	6.5%
r	3644	5.9%
i	3366	5.5%
s	2921	4.7%
t	2703	4.4%
d	1644	2.7%
Other values (41)	20184	32.8%

Common

Value	Count	Frequency (%)
	3270	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64856	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	6946	10.7%
e	6137	9.5%
n	5102	7.9%
o	4936	7.6%
l	4003	6.2%
r	3644	5.6%
i	3366	5.2%
	3270	5.0%
s	2921	4.5%
t	2703	4.2%
Other values (42)	21828	33.7%

Zip Code
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1652
Distinct (%)	23.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	93523.03257

Minimum	90001
Maximum	96161
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.1 KiB

Quantile statistics

Minimum	90001
5-th percentile	90232
Q1	92102
median	93552.5
Q3	95354
95-th percentile	96031.45
Maximum	96161
Range	6160
Interquartile range (IQR)	3252

Descriptive statistics

Standard deviation	1865.515958
Coefficient of variation (CV)	0.01994712861
Kurtosis	-1.153822744
Mean	93523.03257
Median Absolute Deviation (MAD)	1642
Skewness	-0.2516583316
Sum	657653965
Variance	3480149.791
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90003	5	0.1%
92284	5	0.1%
91941	5	0.1%
91916	5	0.1%
91913	5	0.1%
91911	5	0.1%
91786	5	0.1%
91784	5	0.1%
91780	5	0.1%
91765	5	0.1%
Other values (1642)	6982	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
90001	5	0.1%
90002	5	0.1%
90003	5	0.1%
90004	5	0.1%
90005	5	0.1%
90006	5	0.1%
90007	5	0.1%
90008	5	0.1%
90010	5	0.1%
90011	5	0.1%

Value	Count	Frequency (%)
96161	4	0.1%
96150	4	0.1%
96148	4	0.1%
96146	4	0.1%
96145	4	0.1%
96143	4	0.1%
96142	4	0.1%
96141	4	0.1%
96140	4	0.1%
96137	4	0.1%

Lat Long
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1652
Distinct (%)	23.5%
Missing	0
Missing (%)	0.0%
Memory size	55.1 KiB

33.964131, -118.272783	5
34.159534, -116.425984	5
32.759327, -116.99726	5
32.912664, -116.635387	5
32.64164, -116.985026	5
Other values (1647)	7007

Length

Max length	22
Median length	22
Mean length	21.77673493
Min length	18

Characters and Unicode

Total characters	153134
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	33.964131, -118.272783
2nd row	34.059281, -118.30742
3rd row	34.048013, -118.293953
4th row	34.062125, -118.315709
5th row	34.039224, -118.266293

Common Values

Value	Count	Frequency (%)
33.964131, -118.272783	5	0.1%
34.159534, -116.425984	5	0.1%
32.759327, -116.99726	5	0.1%
32.912664, -116.635387	5	0.1%
32.64164, -116.985026	5	0.1%
32.607964, -117.059459	5	0.1%
34.105493, -117.660934	5	0.1%
34.141146, -117.655583	5	0.1%
34.101608, -118.055848	5	0.1%
33.992416, -117.807874	5	0.1%
Other values (1642)	6982	99.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
121.994813	8	0.1%
33.964131	5	< 0.1%
33.719221	5	< 0.1%
118.381061	5	< 0.1%
34.128284	5	< 0.1%
118.047732	5	< 0.1%
33.807882	5	< 0.1%
118.347957	5	< 0.1%
34.015217	5	< 0.1%
118.109962	5	< 0.1%
Other values (3293)	14011	99.6%

Most occurring characters

Value	Count	Frequency (%)
1	20367	13.3%
3	16415	10.7%
.	14064	9.2%
2	13686	8.9%
8	10983	7.2%
7	10764	7.0%
4	10493	6.9%
9	9532	6.2%
6	8936	5.8%
5	8670	5.7%
Other values (4)	29224	19.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	117974	77.0%
Other Punctuation	21096	13.8%
Space Separator	7032	4.6%
Dash Punctuation	7032	4.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	20367	17.3%
3	16415	13.9%
2	13686	11.6%
8	10983	9.3%
7	10764	9.1%
4	10493	8.9%
9	9532	8.1%
6	8936	7.6%
5	8670	7.3%
0	8128	6.9%

Other Punctuation

Value	Count	Frequency (%)
.	14064	66.7%
,	7032	33.3%

Space Separator

Value	Count	Frequency (%)
	7032	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7032	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	153134	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	20367	13.3%
3	16415	10.7%
.	14064	9.2%
2	13686	8.9%
8	10983	7.2%
7	10764	7.0%
4	10493	6.9%
9	9532	6.2%
6	8936	5.8%
5	8670	5.7%
Other values (4)	29224	19.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	153134	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	20367	13.3%
3	16415	10.7%
.	14064	9.2%
2	13686	8.9%
8	10983	7.2%
7	10764	7.0%
4	10493	6.9%
9	9532	6.2%
6	8936	5.8%
5	8670	5.7%
Other values (4)	29224	19.1%

Latitude
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1652
Distinct (%)	23.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.28330693

Minimum	32.555828
Maximum	41.962127
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.1 KiB

Quantile statistics

Minimum	32.555828
5-th percentile	32.980678
Q1	34.030915
median	36.391777
Q3	38.227285
95-th percentile	40.55815235
Maximum	41.962127
Range	9.406299
Interquartile range (IQR)	4.19637

Descriptive statistics

Standard deviation	2.456118329
Coefficient of variation (CV)	0.06769279145
Kurtosis	-1.136114505
Mean	36.28330693
Median Absolute Deviation (MAD)	2.263106
Skewness	0.3031705998
Sum	255144.2143
Variance	6.032517246
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
33.964131	5	0.1%
34.159534	5	0.1%
32.759327	5	0.1%
32.912664	5	0.1%
32.64164	5	0.1%
32.607964	5	0.1%
34.105493	5	0.1%
34.141146	5	0.1%
34.101608	5	0.1%
33.992416	5	0.1%
Other values (1642)	6982	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
32.555828	5	0.1%
32.578103	5	0.1%
32.579134	5	0.1%
32.587557	5	0.1%
32.605012	5	0.1%
32.607964	5	0.1%
32.619465	5	0.1%
32.622999	5	0.1%
32.636792	5	0.1%
32.64164	5	0.1%

Value	Count	Frequency (%)
41.962127	4	0.1%
41.950683	4	0.1%
41.949216	4	0.1%
41.932207	4	0.1%
41.924174	4	0.1%
41.867908	4	0.1%
41.831901	4	0.1%
41.816595	4	0.1%
41.813521	4	0.1%
41.769709	4	0.1%

Longitude
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1651
Distinct (%)	23.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-119.7992151

Minimum	-124.301372
Maximum	-114.192901
Zeros	0
Zeros (%)	0.0%
Negative	7032
Negative (%)	100.0%
Memory size	55.1 KiB

Quantile statistics

Minimum	-124.301372
5-th percentile	-122.998726
Q1	-121.815412
median	-119.73541
Q3	-118.043237
95-th percentile	-116.76058
Maximum	-114.192901
Range	10.108471
Interquartile range (IQR)	3.772175

Descriptive statistics

Standard deviation	2.157587776
Coefficient of variation (CV)	-0.01801003266
Kurtosis	-1.13533181
Mean	-119.7992151
Median Absolute Deviation (MAD)	1.829311
Skewness	-0.03974068342
Sum	-842428.0805
Variance	4.655185013
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-121.994813	8	0.1%
-118.345928	5	0.1%
-116.99726	5	0.1%
-116.635387	5	0.1%
-116.985026	5	0.1%
-117.059459	5	0.1%
-117.660934	5	0.1%
-117.655583	5	0.1%
-118.055848	5	0.1%
-117.807874	5	0.1%
Other values (1641)	6979	99.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-124.301372	4	0.1%
-124.240051	4	0.1%
-124.217378	4	0.1%
-124.210902	4	0.1%
-124.189977	4	0.1%
-124.163234	4	0.1%
-124.15428	4	0.1%
-124.121504	4	0.1%
-124.108897	4	0.1%
-124.098739	4	0.1%

Value	Count	Frequency (%)
-114.192901	5	0.1%
-114.36514	5	0.1%
-114.702256	4	0.1%
-114.71612	5	0.1%
-114.717964	5	0.1%
-114.758334	5	0.1%
-114.850784	5	0.1%
-115.152865	5	0.1%
-115.191857	5	0.1%
-115.257009	5	0.1%

Gender
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	55.1 KiB

Male	3549
Female	3483

Length

Max length	6
Median length	4
Mean length	4.990614334
Min length	4

Characters and Unicode

Total characters	35094
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Female
3rd row	Female
4th row	Female
5th row	Male

Common Values

Value	Count	Frequency (%)
Male	3549	50.5%
Female	3483	49.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
male	3549	50.5%
female	3483	49.5%

Most occurring characters

Value	Count	Frequency (%)
e	10515	30.0%
a	7032	20.0%
l	7032	20.0%
M	3549	10.1%
F	3483	9.9%
m	3483	9.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	28062	80.0%
Uppercase Letter	7032	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	10515	37.5%
a	7032	25.1%
l	7032	25.1%
m	3483	12.4%

Uppercase Letter

Value	Count	Frequency (%)
M	3549	50.5%
F	3483	49.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	35094	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	10515	30.0%
a	7032	20.0%
l	7032	20.0%
M	3549	10.1%
F	3483	9.9%
m	3483	9.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	35094	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	10515	30.0%
a	7032	20.0%
l	7032	20.0%
M	3549	10.1%
F	3483	9.9%
m	3483	9.9%

Senior Citizen
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.0 KiB

False	5890
True	1142

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	5890	83.8%
True	1142	16.2%

Partner
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.0 KiB

False	3639
True	3393

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	3639	51.7%
True	3393	48.3%

Dependents
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.0 KiB

False	5412
True	1620

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	5412	77.0%
True	1620	23.0%

Tenure Months
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	72
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.42178612

Minimum	1
Maximum	72
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	9
median	29
Q3	55
95-th percentile	72
Maximum	72
Range	71
Interquartile range (IQR)	46

Descriptive statistics

Standard deviation	24.54525971
Coefficient of variation (CV)	0.7570606881
Kurtosis	-1.38782258
Mean	32.42178612
Median Absolute Deviation (MAD)	22
Skewness	0.2377308319
Sum	227990
Variance	602.4697742
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	613	8.7%
72	362	5.1%
2	238	3.4%
3	200	2.8%
4	176	2.5%
71	170	2.4%
5	133	1.9%
7	131	1.9%
8	123	1.7%
9	119	1.7%
Other values (62)	4767	67.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	613	8.7%
2	238	3.4%
3	200	2.8%
4	176	2.5%
5	133	1.9%
6	110	1.6%
7	131	1.9%
8	123	1.7%
9	119	1.7%
10	116	1.6%

Value	Count	Frequency (%)
72	362	5.1%
71	170	2.4%
70	119	1.7%
69	95	1.4%
68	100	1.4%
67	98	1.4%
66	89	1.3%
65	76	1.1%
64	80	1.1%
63	72	1.0%

Phone Service
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.0 KiB

True	6352
False	680

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	6352	90.3%
False	680	9.7%

Multiple Lines
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	55.1 KiB

No	3385
Yes	2967
No phone service	680

Length

Max length	16
Median length	3
Mean length	3.775739477
Min length	2

Characters and Unicode

Total characters	26551
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	Yes
4th row	Yes
5th row	Yes

Common Values

Value	Count	Frequency (%)
No	3385	48.1%
Yes	2967	42.2%
No phone service	680	9.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	4065	48.4%
yes	2967	35.4%
phone	680	8.1%
service	680	8.1%

Most occurring characters

Value	Count	Frequency (%)
e	5007	18.9%
o	4745	17.9%
N	4065	15.3%
s	3647	13.7%
Y	2967	11.2%
	1360	5.1%
p	680	2.6%
h	680	2.6%
n	680	2.6%
r	680	2.6%
Other values (3)	2040	7.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	18159	68.4%
Uppercase Letter	7032	26.5%
Space Separator	1360	5.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	5007	27.6%
o	4745	26.1%
s	3647	20.1%
p	680	3.7%
h	680	3.7%
n	680	3.7%
r	680	3.7%
v	680	3.7%
i	680	3.7%
c	680	3.7%

Uppercase Letter

Value	Count	Frequency (%)
N	4065	57.8%
Y	2967	42.2%

Space Separator

Value	Count	Frequency (%)
	1360	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25191	94.9%
Common	1360	5.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	5007	19.9%
o	4745	18.8%
N	4065	16.1%
s	3647	14.5%
Y	2967	11.8%
p	680	2.7%
h	680	2.7%
n	680	2.7%
r	680	2.7%
v	680	2.7%
Other values (2)	1360	5.4%

Common

Value	Count	Frequency (%)
	1360	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26551	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	5007	18.9%
o	4745	17.9%
N	4065	15.3%
s	3647	13.7%
Y	2967	11.2%
	1360	5.1%
p	680	2.6%
h	680	2.6%
n	680	2.6%
r	680	2.6%
Other values (3)	2040	7.7%

Internet Service
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	55.1 KiB

Fiber optic	3096
DSL	2416
No	1520

Length

Max length	11
Median length	3
Mean length	6.306029579
Min length	2

Characters and Unicode

Total characters	44344
Distinct characters	14
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	DSL
2nd row	Fiber optic
3rd row	Fiber optic
4th row	Fiber optic
5th row	Fiber optic

Common Values

Value	Count	Frequency (%)
Fiber optic	3096	44.0%
DSL	2416	34.4%
No	1520	21.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
fiber	3096	30.6%
optic	3096	30.6%
dsl	2416	23.9%
no	1520	15.0%

Most occurring characters

Value	Count	Frequency (%)
i	6192	14.0%
o	4616	10.4%
F	3096	7.0%
b	3096	7.0%
e	3096	7.0%
r	3096	7.0%
	3096	7.0%
p	3096	7.0%
t	3096	7.0%
c	3096	7.0%
Other values (4)	8768	19.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	29384	66.3%
Uppercase Letter	11864	26.8%
Space Separator	3096	7.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	6192	21.1%
o	4616	15.7%
b	3096	10.5%
e	3096	10.5%
r	3096	10.5%
p	3096	10.5%
t	3096	10.5%
c	3096	10.5%

Uppercase Letter

Value	Count	Frequency (%)
F	3096	26.1%
D	2416	20.4%
S	2416	20.4%
L	2416	20.4%
N	1520	12.8%

Space Separator

Value	Count	Frequency (%)
	3096	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	41248	93.0%
Common	3096	7.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	6192	15.0%
o	4616	11.2%
F	3096	7.5%
b	3096	7.5%
e	3096	7.5%
r	3096	7.5%
p	3096	7.5%
t	3096	7.5%
c	3096	7.5%
D	2416	5.9%
Other values (3)	6352	15.4%

Common

Value	Count	Frequency (%)
	3096	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44344	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	6192	14.0%
o	4616	10.4%
F	3096	7.0%
b	3096	7.0%
e	3096	7.0%
r	3096	7.0%
	3096	7.0%
p	3096	7.0%
t	3096	7.0%
c	3096	7.0%
Other values (4)	8768	19.8%

Online Security
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.0 KiB

False	5017
True	2015

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	5017	71.3%
True	2015	28.7%

Online Backup
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.0 KiB

False	4607
True	2425

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	4607	65.5%
True	2425	34.5%

Device Protection
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.0 KiB

False	4614
True	2418

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	4614	65.6%
True	2418	34.4%

Tech Support
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.0 KiB

False	4992
True	2040

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	4992	71.0%
True	2040	29.0%

Streaming TV
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.0 KiB

False	4329
True	2703

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	4329	61.6%
True	2703	38.4%

Streaming Movies
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.0 KiB

False	4301
True	2731

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	4301	61.2%
True	2731	38.8%

Contract
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	55.1 KiB

Month-to-month	3875
Two year	1685
One year	1472

Length

Max length	14
Median length	14
Mean length	11.30631399
Min length	8

Characters and Unicode

Total characters	79506
Distinct characters	15
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Month-to-month
2nd row	Month-to-month
3rd row	Month-to-month
4th row	Month-to-month
5th row	Month-to-month

Common Values

Value	Count	Frequency (%)
Month-to-month	3875	55.1%
Two year	1685	24.0%
One year	1472	20.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
month-to-month	3875	38.0%
year	3157	31.0%
two	1685	16.5%
one	1472	14.4%

Most occurring characters

Value	Count	Frequency (%)
o	13310	16.7%
t	11625	14.6%
n	9222	11.6%
h	7750	9.7%
-	7750	9.7%
e	4629	5.8%
M	3875	4.9%
m	3875	4.9%
	3157	4.0%
y	3157	4.0%
Other values (5)	11156	14.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	61567	77.4%
Dash Punctuation	7750	9.7%
Uppercase Letter	7032	8.8%
Space Separator	3157	4.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	13310	21.6%
t	11625	18.9%
n	9222	15.0%
h	7750	12.6%
e	4629	7.5%
m	3875	6.3%
y	3157	5.1%
a	3157	5.1%
r	3157	5.1%
w	1685	2.7%

Uppercase Letter

Value	Count	Frequency (%)
M	3875	55.1%
T	1685	24.0%
O	1472	20.9%

Dash Punctuation

Value	Count	Frequency (%)
-	7750	100.0%

Space Separator

Value	Count	Frequency (%)
	3157	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	68599	86.3%
Common	10907	13.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	13310	19.4%
t	11625	16.9%
n	9222	13.4%
h	7750	11.3%
e	4629	6.7%
M	3875	5.6%
m	3875	5.6%
y	3157	4.6%
a	3157	4.6%
r	3157	4.6%
Other values (3)	4842	7.1%

Common

Value	Count	Frequency (%)
-	7750	71.1%
	3157	28.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	79506	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	13310	16.7%
t	11625	14.6%
n	9222	11.6%
h	7750	9.7%
-	7750	9.7%
e	4629	5.8%
M	3875	4.9%
m	3875	4.9%
	3157	4.0%
y	3157	4.0%
Other values (5)	11156	14.0%

Paperless Billing
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.0 KiB

True	4168
False	2864

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	4168	59.3%
False	2864	40.7%

Payment Method
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	55.1 KiB

Electronic check	2365
Mailed check	1604
Bank transfer (automatic)	1542
Credit card (automatic)	1521

Length

Max length	25
Median length	23
Mean length	18.57522753
Min length	12

Characters and Unicode

Total characters	130621
Distinct characters	23
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mailed check
2nd row	Electronic check
3rd row	Electronic check
4th row	Electronic check
5th row	Bank transfer (automatic)

Common Values

Value	Count	Frequency (%)
Electronic check	2365	33.6%
Mailed check	1604	22.8%
Bank transfer (automatic)	1542	21.9%
Credit card (automatic)	1521	21.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
check	3969	23.2%
automatic	3063	17.9%
electronic	2365	13.8%
mailed	1604	9.4%
bank	1542	9.0%
transfer	1542	9.0%
credit	1521	8.9%
card	1521	8.9%

Most occurring characters

Value	Count	Frequency (%)
c	17252	13.2%
a	12335	9.4%
t	11554	8.8%
e	11001	8.4%
	10095	7.7%
i	8553	6.5%
r	8491	6.5%
k	5511	4.2%
n	5449	4.2%
o	5428	4.2%
Other values (13)	34952	26.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	107368	82.2%
Space Separator	10095	7.7%
Uppercase Letter	7032	5.4%
Open Punctuation	3063	2.3%
Close Punctuation	3063	2.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
c	17252	16.1%
a	12335	11.5%
t	11554	10.8%
e	11001	10.2%
i	8553	8.0%
r	8491	7.9%
k	5511	5.1%
n	5449	5.1%
o	5428	5.1%
d	4646	4.3%
Other values (6)	17148	16.0%

Uppercase Letter

Value	Count	Frequency (%)
E	2365	33.6%
M	1604	22.8%
B	1542	21.9%
C	1521	21.6%

Space Separator

Value	Count	Frequency (%)
	10095	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3063	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3063	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	114400	87.6%
Common	16221	12.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
c	17252	15.1%
a	12335	10.8%
t	11554	10.1%
e	11001	9.6%
i	8553	7.5%
r	8491	7.4%
k	5511	4.8%
n	5449	4.8%
o	5428	4.7%
d	4646	4.1%
Other values (10)	24180	21.1%

Common

Value	Count	Frequency (%)
	10095	62.2%
(	3063	18.9%
)	3063	18.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	130621	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
c	17252	13.2%
a	12335	9.4%
t	11554	8.8%
e	11001	8.4%
	10095	7.7%
i	8553	6.5%
r	8491	6.5%
k	5511	4.2%
n	5449	4.2%
o	5428	4.2%
Other values (13)	34952	26.8%

Monthly Charges
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1584
Distinct (%)	22.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	64.79820819

Minimum	18.25
Maximum	118.75
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.1 KiB

Quantile statistics

Minimum	18.25
5-th percentile	19.65
Q1	35.5875
median	70.35
Q3	89.8625
95-th percentile	107.4225
Maximum	118.75
Range	100.5
Interquartile range (IQR)	54.275

Descriptive statistics

Standard deviation	30.08597388
Coefficient of variation (CV)	0.464302559
Kurtosis	-1.256156424
Mean	64.79820819
Median Absolute Deviation (MAD)	24.05
Skewness	-0.2221029277
Sum	455661
Variance	905.1658246
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20.05	61	0.9%
19.9	44	0.6%
19.95	44	0.6%
19.85	44	0.6%
19.65	43	0.6%
20	42	0.6%
19.7	42	0.6%
20.15	40	0.6%
19.55	40	0.6%
19.75	39	0.6%
Other values (1574)	6593	93.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18.25	1	< 0.1%
18.4	1	< 0.1%
18.55	1	< 0.1%
18.7	2	< 0.1%
18.75	1	< 0.1%
18.8	7	0.1%
18.85	5	0.1%
18.9	2	< 0.1%
18.95	6	0.1%
19	7	0.1%

Value	Count	Frequency (%)
118.75	1	< 0.1%
118.65	1	< 0.1%
118.6	2	< 0.1%
118.35	1	< 0.1%
118.2	1	< 0.1%
117.8	1	< 0.1%
117.6	1	< 0.1%
117.5	1	< 0.1%
117.45	1	< 0.1%
117.35	1	< 0.1%

Total Charges
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6530
Distinct (%)	92.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2283.300441

Minimum	18.8
Maximum	8684.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.1 KiB

Quantile statistics

Minimum	18.8
5-th percentile	49.605
Q1	401.45
median	1397.475
Q3	3794.7375
95-th percentile	6923.59
Maximum	8684.8
Range	8666
Interquartile range (IQR)	3393.2875

Descriptive statistics

Standard deviation	2266.771362
Coefficient of variation (CV)	0.992760883
Kurtosis	-0.2317987609
Mean	2283.300441
Median Absolute Deviation (MAD)	1222.8
Skewness	0.9616424997
Sum	16056168.7
Variance	5138252.407
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20.2	11	0.2%
19.75	9	0.1%
20.05	8	0.1%
19.65	8	0.1%
19.9	8	0.1%
19.55	7	0.1%
45.3	7	0.1%
20.15	6	0.1%
19.45	6	0.1%
20.25	6	0.1%
Other values (6520)	6956	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18.8	1	< 0.1%
18.85	2	< 0.1%
18.9	1	< 0.1%
19	1	< 0.1%
19.05	1	< 0.1%
19.1	3	< 0.1%
19.15	1	< 0.1%
19.2	4	0.1%
19.25	3	< 0.1%
19.3	4	0.1%

Value	Count	Frequency (%)
8684.8	1	< 0.1%
8672.45	1	< 0.1%
8670.1	1	< 0.1%
8594.4	1	< 0.1%
8564.75	1	< 0.1%
8547.15	1	< 0.1%
8543.25	1	< 0.1%
8529.5	1	< 0.1%
8496.7	1	< 0.1%
8477.7	1	< 0.1%

Churn Label
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.0 KiB

False	5163
True	1869

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	5163	73.4%
True	1869	26.6%

Churn Value
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	55.1 KiB

0	5163
1	1869

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	7032
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	5163	73.4%
1	1869	26.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	5163	73.4%
1	1869	26.6%

Most occurring characters

Value	Count	Frequency (%)
0	5163	73.4%
1	1869	26.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7032	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5163	73.4%
1	1869	26.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	7032	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5163	73.4%
1	1869	26.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7032	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5163	73.4%
1	1869	26.6%

Churn Score
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	85
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	58.71530148

Minimum	5
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.1 KiB

Quantile statistics

Minimum	5
5-th percentile	24
Q1	40
median	61
Q3	75
95-th percentile	94
Maximum	100
Range	95
Interquartile range (IQR)	35

Descriptive statistics

Standard deviation	21.53132105
Coefficient of variation (CV)	0.3667071531
Kurtosis	-1.005965193
Mean	58.71530148
Median Absolute Deviation (MAD)	17
Skewness	-0.09107471235
Sum	412886
Variance	463.597786
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	151	2.1%
71	148	2.1%
77	145	2.1%
67	143	2.0%
76	141	2.0%
68	140	2.0%
70	140	2.0%
69	139	2.0%
78	138	2.0%
72	137	1.9%
Other values (75)	5610	79.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	< 0.1%
7	2	< 0.1%
8	2	< 0.1%
9	3	< 0.1%
20	83	1.2%
21	84	1.2%
22	82	1.2%
23	78	1.1%
24	86	1.2%
25	85	1.2%

Value	Count	Frequency (%)
100	50	0.7%
99	54	0.8%
98	50	0.7%
97	64	0.9%
96	52	0.7%
95	43	0.6%
94	46	0.7%
93	47	0.7%
92	48	0.7%
91	45	0.6%

CLTV
Real number (ℝ_≥0)

Distinct	3435
Distinct (%)	48.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4401.445108

Minimum	2003
Maximum	6500
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.1 KiB

Quantile statistics

Minimum	2003
5-th percentile	2296.55
Q1	3469.75
median	4527.5
Q3	5381
95-th percentile	6087
Maximum	6500
Range	4497
Interquartile range (IQR)	1911.25

Descriptive statistics

Standard deviation	1182.414266
Coefficient of variation (CV)	0.2686422838
Kurtosis	-0.9333466291
Mean	4401.445108
Median Absolute Deviation (MAD)	922.5
Skewness	-0.3113273648
Sum	30950962
Variance	1398103.496
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5546	8	0.1%
4741	7	0.1%
4369	7	0.1%
5527	7	0.1%
4115	7	0.1%
5092	7	0.1%
4745	7	0.1%
5915	7	0.1%
5461	7	0.1%
5137	7	0.1%
Other values (3425)	6961	99.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2003	3	< 0.1%
2004	3	< 0.1%
2006	1	< 0.1%
2007	4	0.1%
2008	1	< 0.1%
2009	2	< 0.1%
2010	3	< 0.1%
2011	2	< 0.1%
2013	2	< 0.1%
2014	1	< 0.1%

Value	Count	Frequency (%)
6500	1	< 0.1%
6499	2	< 0.1%
6495	1	< 0.1%
6494	2	< 0.1%
6492	3	< 0.1%
6491	1	< 0.1%
6490	1	< 0.1%
6489	1	< 0.1%
6488	1	< 0.1%
6487	2	< 0.1%

Churn Reason
Categorical

HIGH CORRELATION
MISSING

Distinct	20
Distinct (%)	1.1%
Missing	5163
Missing (%)	73.4%
Memory size	55.1 KiB

Attitude of support person	192
Competitor offered higher download speeds	189
Competitor offered more data	162
Don't know	154
Competitor made better offer	140
Other values (15)	1032

Length

Max length	41
Median length	31
Mean length	25.19422151
Min length	5

Characters and Unicode

Total characters	47088
Distinct characters	37
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Competitor made better offer
2nd row	Moved
3rd row	Moved
4th row	Moved
5th row	Competitor had better devices

Common Values

Value	Count	Frequency (%)
Attitude of support person	192	2.7%
Competitor offered higher download speeds	189	2.7%
Competitor offered more data	162	2.3%
Don't know	154	2.2%
Competitor made better offer	140	2.0%
Attitude of service provider	135	1.9%
Competitor had better devices	130	1.8%
Network reliability	103	1.5%
Product dissatisfaction	102	1.5%
Price too high	98	1.4%
Other values (10)	464	6.6%
(Missing)	5163	73.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
competitor	621	9.5%
of	542	8.3%
offered	351	5.3%
attitude	327	5.0%
better	270	4.1%
support	231	3.5%
service	224	3.4%
data	219	3.3%
person	192	2.9%
dissatisfaction	191	2.9%
Other values (37)	3396	51.7%

Most occurring characters

Value	Count	Frequency (%)
e	5658	12.0%
o	4751	10.1%
	4695	10.0%
t	4427	9.4%
r	3512	7.5%
i	3114	6.6%
d	2659	5.6%
s	2225	4.7%
a	1942	4.1%
f	1891	4.0%
Other values (27)	12214	25.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	40150	85.3%
Space Separator	4695	10.0%
Uppercase Letter	1957	4.2%
Other Punctuation	198	0.4%
Dash Punctuation	88	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	5658	14.1%
o	4751	11.8%
t	4427	11.0%
r	3512	8.7%
i	3114	7.8%
d	2659	6.6%
s	2225	5.5%
a	1942	4.8%
f	1891	4.7%
p	1746	4.3%
Other values (13)	8225	20.5%

Uppercase Letter

Value	Count	Frequency (%)
C	621	31.7%
A	327	16.7%
P	239	12.2%
L	220	11.2%
D	160	8.2%
N	103	5.3%
S	89	4.5%
W	88	4.5%
E	57	2.9%
M	53	2.7%

Other Punctuation

Value	Count	Frequency (%)
'	154	77.8%
/	44	22.2%

Space Separator

Value	Count	Frequency (%)
	4695	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	88	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	42107	89.4%
Common	4981	10.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	5658	13.4%
o	4751	11.3%
t	4427	10.5%
r	3512	8.3%
i	3114	7.4%
d	2659	6.3%
s	2225	5.3%
a	1942	4.6%
f	1891	4.5%
p	1746	4.1%
Other values (23)	10182	24.2%

Common

Value	Count	Frequency (%)
	4695	94.3%
'	154	3.1%
-	88	1.8%
/	44	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	47088	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	5658	12.0%
o	4751	10.1%
	4695	10.0%
t	4427	9.4%
r	3512	7.5%
i	3114	6.6%
d	2659	5.6%
s	2225	4.7%
a	1942	4.1%
f	1891	4.0%
Other values (27)	12214	25.9%

Churn
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	55.1 KiB

0.0	5163
1.0	1869

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	21096
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	5163	73.4%
1.0	1869	26.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	5163	73.4%
1.0	1869	26.6%

Most occurring characters

Value	Count	Frequency (%)
0	12195	57.8%
.	7032	33.3%
1	1869	8.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14064	66.7%
Other Punctuation	7032	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12195	86.7%
1	1869	13.3%

Other Punctuation

Value	Count	Frequency (%)
.	7032	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	21096	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12195	57.8%
.	7032	33.3%
1	1869	8.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21096	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	12195	57.8%
.	7032	33.3%
1	1869	8.9%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	CustomerID	Count	Country	State	City	Zip Code	Lat Long	Latitude	Longitude	Gender	Senior Citizen	Partner	Dependents	Tenure Months	Phone Service	Multiple Lines	Internet Service	Online Security	Online Backup	Device Protection	Tech Support	Streaming TV	Streaming Movies	Contract	Paperless Billing	Payment Method	Monthly Charges	Total Charges	Churn Label	Churn Value	Churn Score	CLTV	Churn Reason	Churn
0	3668-QPYBK	1	United States	California	Los Angeles	90003	33.964131, -118.272783	33.964131	-118.272783	Male	No	No	No	2	Yes	No	DSL	Yes	Yes	No	No	No	No	Month-to-month	Yes	Mailed check	53.85	108.15	Yes	1	86	3239	Competitor made better offer	1.0
1	9237-HQITU	1	United States	California	Los Angeles	90005	34.059281, -118.30742	34.059281	-118.307420	Female	No	No	Yes	2	Yes	No	Fiber optic	No	No	No	No	No	No	Month-to-month	Yes	Electronic check	70.70	151.65	Yes	1	67	2701	Moved	1.0
2	9305-CDSKC	1	United States	California	Los Angeles	90006	34.048013, -118.293953	34.048013	-118.293953	Female	No	No	Yes	8	Yes	Yes	Fiber optic	No	No	Yes	No	Yes	Yes	Month-to-month	Yes	Electronic check	99.65	820.50	Yes	1	86	5372	Moved	1.0
3	7892-POOKP	1	United States	California	Los Angeles	90010	34.062125, -118.315709	34.062125	-118.315709	Female	No	Yes	Yes	28	Yes	Yes	Fiber optic	No	No	Yes	Yes	Yes	Yes	Month-to-month	Yes	Electronic check	104.80	3046.05	Yes	1	84	5003	Moved	1.0
4	0280-XJGEX	1	United States	California	Los Angeles	90015	34.039224, -118.266293	34.039224	-118.266293	Male	No	No	Yes	49	Yes	Yes	Fiber optic	No	Yes	Yes	No	Yes	Yes	Month-to-month	Yes	Bank transfer (automatic)	103.70	5036.30	Yes	1	89	5340	Competitor had better devices	1.0
5	4190-MFLUW	1	United States	California	Los Angeles	90020	34.066367, -118.309868	34.066367	-118.309868	Female	No	Yes	No	10	Yes	No	DSL	No	No	Yes	Yes	No	No	Month-to-month	No	Credit card (automatic)	55.20	528.35	Yes	1	78	5925	Competitor offered higher download speeds	1.0
6	8779-QRDMV	1	United States	California	Los Angeles	90022	34.02381, -118.156582	34.023810	-118.156582	Male	Yes	No	No	1	No	No phone service	DSL	No	No	Yes	No	No	Yes	Month-to-month	Yes	Electronic check	39.65	39.65	Yes	1	100	5433	Competitor offered more data	1.0
7	1066-JKSGK	1	United States	California	Los Angeles	90024	34.066303, -118.435479	34.066303	-118.435479	Male	No	No	No	1	Yes	No	No	No	No	No	No	No	No	Month-to-month	No	Mailed check	20.15	20.15	Yes	1	92	4832	Competitor made better offer	1.0
8	6467-CHFZW	1	United States	California	Los Angeles	90028	34.099869, -118.326843	34.099869	-118.326843	Male	No	Yes	Yes	47	Yes	Yes	Fiber optic	No	Yes	No	No	Yes	Yes	Month-to-month	Yes	Electronic check	99.35	4749.15	Yes	1	77	5789	Competitor had better devices	1.0
9	8665-UTDHZ	1	United States	California	Los Angeles	90029	34.089953, -118.294824	34.089953	-118.294824	Male	No	Yes	No	1	No	No phone service	DSL	No	Yes	No	No	No	No	Month-to-month	No	Electronic check	30.20	30.20	Yes	1	97	2915	Competitor had better devices	1.0

Last rows

	CustomerID	Count	Country	State	City	Zip Code	Lat Long	Latitude	Longitude	Gender	Senior Citizen	Partner	Dependents	Tenure Months	Phone Service	Multiple Lines	Internet Service	Online Security	Online Backup	Device Protection	Tech Support	Streaming TV	Streaming Movies	Contract	Paperless Billing	Payment Method	Monthly Charges	Total Charges	Churn Label	Churn Score	CLTV	Churn Reason
7022	0871-OPBXW	1	United States	California	Twentynine Palms	92277	34.17211, -115.769773	34.172110	-115.769773	Female	No	No	No	2	Yes	No	No	No	No	No	No	No	No	Month-to-month	Yes	Mailed check	20.05	39.25	No	80	5191	NaN
7023	3605-JISKB	1	United States	California	Twentynine Palms	92278	34.457829, -116.139589	34.457829	-116.139589	Male	Yes	Yes	No	55	Yes	Yes	DSL	Yes	Yes	No	No	No	No	One year	No	Credit card (automatic)	60.00	3316.10	No	71	4212	NaN
7024	9767-FFLEM	1	United States	California	Westmorland	92281	33.03679, -115.60503	33.036790	-115.605030	Male	No	No	No	38	Yes	No	Fiber optic	No	No	No	No	No	No	Month-to-month	Yes	Credit card (automatic)	69.50	2625.25	No	35	4591	NaN
7025	8456-QDAVC	1	United States	California	Winterhaven	92283	32.852947, -114.850784	32.852947	-114.850784	Male	No	No	No	19	Yes	No	Fiber optic	No	No	No	No	Yes	No	Month-to-month	Yes	Bank transfer (automatic)	78.70	1495.10	No	20	2464	NaN
7026	7750-EYXWZ	1	United States	California	Yucca Valley	92284	34.159534, -116.425984	34.159534	-116.425984	Female	No	No	No	12	No	No phone service	DSL	No	Yes	Yes	Yes	Yes	Yes	One year	No	Electronic check	60.65	743.30	No	24	3740	NaN
7027	2569-WGERO	1	United States	California	Landers	92285	34.341737, -116.539416	34.341737	-116.539416	Female	No	No	No	72	Yes	No	No	No	No	No	No	No	No	Two year	Yes	Bank transfer (automatic)	21.15	1419.40	No	45	5306	NaN
7028	6840-RESVB	1	United States	California	Adelanto	92301	34.667815, -117.536183	34.667815	-117.536183	Male	No	Yes	Yes	24	Yes	Yes	DSL	Yes	No	Yes	Yes	Yes	Yes	One year	Yes	Mailed check	84.80	1990.50	No	59	2140	NaN
7029	2234-XADUH	1	United States	California	Amboy	92304	34.559882, -115.637164	34.559882	-115.637164	Female	No	Yes	Yes	72	Yes	Yes	Fiber optic	No	Yes	Yes	No	Yes	Yes	One year	Yes	Credit card (automatic)	103.20	7362.90	No	71	5560	NaN
7030	4801-JZAZL	1	United States	California	Angelus Oaks	92305	34.1678, -116.86433	34.167800	-116.864330	Female	No	Yes	Yes	11	No	No phone service	DSL	Yes	No	No	No	No	No	Month-to-month	Yes	Electronic check	29.60	346.45	No	59	2793	NaN
7031	3186-AJIEK	1	United States	California	Apple Valley	92308	34.424926, -117.184503	34.424926	-117.184503	Male	No	No	No	66	Yes	No	Fiber optic	Yes	No	Yes	Yes	Yes	Yes	Two year	Yes	Bank transfer (automatic)	105.65	6844.50	No	38	5097	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category